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New Curriculum!

New courses and semester structure

New courses and semester projects in the improved ICTE

If you start studying MSc. ICTE from September 2019, you get three new courses: "Machine Learning", "User Experience & Computer Ethics" and "Algorithmic Content Exposure"

MACHINE LEARNING (Per Lyngaard)

The objective is for you to learn about data modelling, key machine learning concepts such as feature extraction, cross-validation, generalisation and over-fitting and curse of dimensionality among others. You will become able to select and apply a range of different machine learning algorithms and techniques on specific problems.

USER EXPERIENCE AND COMPUTER ETHICS (Jannick Kirk Sørensen)

Through this course, you will become able to understand the relation between HCI, interaction design and user experience. You will learn about different methods to design interaction of ICT systems, and you will be able to understand the concept and applicability of computer ethics. You will among others learn how to apply the concepts of usability and user experience both to screen-based and non-screen-based interactive systems and to identify possible computer ethical issues related to an ITC system and/or the context in which it is used.

ALGORITHMIC CONTENT EXPOSURE (Jannick Kirk Sørensen)

This course builds on knowledge obtained in the modules “Internet technologies and service architectures” and “Machine Learning”. The objective is for you to learn about among others the principles for algorithmic selection of content, e.g. as used in recommender systems, the key standards of media formats and representation of digital content, methods for dealing with Digital Rights Management (DRM), etc. In addition, you are going to work with preparation and integration of multimedia content in a service, including associated metadata, etc.

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We have also adjusted the topics of the semester projects. 

Read more here about the new semester structure and the courses.

Questions? Contact ICTE programme coordinator Henning Olesen!